Netrolynx AI
Machine Learning Engineer
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About The Company
ECM Selection (Holdings) Limited is a leading high-tech recruitment firm specializing in sourcing top-tier talent for innovative industries. With a strong reputation for connecting exceptional candidates with pioneering organizations, ECM prides itself on delivering tailored recruitment solutions that meet the evolving needs of the technology sector. The company's expertise spans various domains including engineering, software development, and scientific research, making it a trusted partner for both clients and job seekers seeking impactful career opportunities in cutting-edge fields.
About The Role
We are seeking a highly skilled and motivated Machine Learning Engineer to join an innovative team focused on developing advanced machine learning systems for the defence and security sectors. This role offers the opportunity to work on the entire machine learning development lifecycle, from conceptualization and architecture design to data collection, model training, and product integration. The successful candidate will collaborate closely with engineers and scientists to create prototypes and demonstrator units, utilizing state-of-the-art electronics and hardware integration. The environment encourages creativity and innovation, allowing you to work across multiple domains such as computer vision, generative models, and new methodological inventions. This position is based in Cambridge, offering a competitive salary up to approximately £70,000 depending on experience, along with comprehensive benefits.
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Qualifications
- A strong proficiency in Python, with practical experience utilizing modern machine learning frameworks such as TensorFlow and PyTorch.
- Comprehensive knowledge of various machine learning techniques across different domains, with the ability to adapt to new challenges quickly.
- A top-tier degree in a STEM subject, with additional qualifications such as a PhD or relevant commercial experience being highly desirable.
- UK nationality is required to pass security clearance processes.
- Experience deploying machine learning models onto various hardware platforms, including embedded systems and cloud environments, is advantageous.
- Familiarity with GPU programming languages and frameworks such as CUDA or ROCm is a plus.
Responsibilities
- Designing, developing, and deploying machine learning models across a range of projects.
- Conducting initial research, selecting appropriate architectures, and iterating on models to meet project specifications.
- Working closely with electronics engineers to integrate models into hardware prototypes, ensuring optimal performance and functionality.
- Collecting and preprocessing data, training models, and performing rigorous testing and evaluation to validate system capabilities.
- Participating in cross-disciplinary collaboration, sharing insights and innovations to advance the company's technological offerings.
- Contributing to documentation, knowledge sharing, and continuous improvement initiatives to maintain the company's competitive edge in the industry.
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Benefits
- Comprehensive benefits package including private medical insurance, a generous pension scheme, and access to local social and sports clubs.
- Collaborative and respectful work environment with minimal managerial oversight, promoting teamwork and individual expertise.
- Opportunities for ongoing training, development, and career progression.
- Onsite presence full-time, offering a dynamic and engaging workspace in the heart of Cambridge, a hub for technological innovation.
- Emphasis on work-life balance and a culture of innovation, creativity, and continuous learning.
Equal Opportunity
ECM Selection (Holdings) Limited is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, gender, age, religion, sexual orientation, disability, or any other protected characteristic. All qualified applicants will receive consideration for employment without regard to these factors. We believe that a diverse workforce enhances innovation and drives better business outcomes, and we are dedicated to fostering a workplace where everyone can thrive and succeed.
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